Christine Orengo

24.4k citations
180 papers · 11.7k indexed · 3 hit papers · h-index 60
Topics
Protein Structure and Dynamics (71 papers)Machine Learning in Bioinformatics (58 papers)Genomics and Phylogenetic Studies (58 papers)

In The Last Decade

Christine Orengo

177 papers receiving 11.5k citations

Hit Papers

Protein superfamilles and domain superfolds1989202620012013199419892020200400600

Peers

Christine Orengo
Comparison fields: 5 of 173
  • Molecular Biology 9.9k
  • Materials Chemistry 3.1k
  • Computational Theory and Mathematics 889
  • Genetics 730
  • Spectroscopy 444
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András Fiser United States
Dina Schneidman‐Duhovny United States
M. Michael Gromiha India
Tanja Kortemme United States
Simon C. Lovell United Kingdom
Brian Kuhlman United States
Wim Vranken Belgium
Chung‐Jung Tsai United States
Min‐Yi Shen United States
Marc A. Martı́-Renom Spain
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Citations per field
00.5×1.7×
András Fiser · 1×
Citations per year

Countries citing papers authored by Christine Orengo

Since Specialization
Citations

This map shows the geographic impact of Christine Orengo's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Christine Orengo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christine Orengo more than expected).

Fields of papers citing papers by Christine Orengo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christine Orengo. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Christine Orengo. The network helps show where Christine Orengo may publish in the future.

Co-authorship network of co-authors of Christine Orengo

This figure shows the co-authorship network connecting the top 25 collaborators of Christine Orengo. A scholar is included among the top collaborators of Christine Orengo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Christine Orengo. Christine Orengo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 13
2 1
3 0
4 23
5 17
6 13
7 15
8 18
9 19
10 17
11 34
12 18
13 9
14 97
15 395
16 107
17 83
18 2
19 52
20 57

About Christine Orengo

Christine Orengo is a scholar working on Molecular Biology, Materials Chemistry and Biophysics, having authored 180 papers that have together received 11.7k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (71 papers), Machine Learning in Bioinformatics (58 papers) and Genomics and Phylogenetic Studies (58 papers). The work is most often cited by research in Molecular Biology (9.9k citations), Materials Chemistry (3.1k citations) and Computational Theory and Mathematics (889 citations). Christine Orengo has collaborated with scholars based in United Kingdom, Spain and United States. Frequent co-authors include Janet M. Thornton, David Lee, Ian Sillitoe, Oliver Redfern, Jonathan Lees, Annabel E. Todd, William R. Taylor, David T. Jones, William R. Taylor and Natalie L. Dawson. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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